memory-systems
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
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467 skills found
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
Production-ready Nuxt UI v4 component library featuring 125+ accessible components, Tailwind CSS v4, Reka UI, and specialized dashboard, chat, and editor layouts.
Enables multi-tenant isolation for AI agent swarms, ensuring strict data separation, process isolation, and secure resource management between deployments.
AI-powered creative visual prompt generator for posters, banners, product shots, and social media content.
Build, audit, and iterate high-converting landing pages using React, Vite, TypeScript, Tailwind, and shadcn/ui. Expert in CRO, hero structures, and conversion-focused design with Iconify icons.
Development and maintenance of the PWAFire library: build PWA API modules, handle feature detection, manage testing, and contribute to codebase following strict sync/async patterns and error handling requirements.
Search, analyze, and audit GeminiClaw session logs and memory. Use to investigate past interactions, track token usage, debug tool calls, and monitor agent performance.
Build high-performance Solana apps with MagicBlock Ephemeral Rollups: sub-10ms latency, gasless transactions, and seamless integration for games and HFT.
Extracts Supabase anonymous API keys from client-side source code to facilitate RLS testing and security auditing.
Perform comprehensive code reviews with a focus on security vulnerabilities, performance optimization, maintainability, and code correctness.
Build professional, accessible, and responsive user interfaces using React, Next.js, and modern design systems like shadcn/ui. Focuses on developer tools, chat interfaces, and real-time streaming components.
Python skill for high-performance storage of chunked N-dimensional arrays using Zarr, supporting cloud storage (S3/GCS), parallel I/O, and integration with NumPy, Dask, and Xarray.